The mechanical behavior of beryllium is important in a range of Department
of Energy (DOE) weapons applications. Its unique high elastic modulus, modu
lus-to-density ratio and strength-to-density ratio make beryllium an ideal
material for aerospace vehicles and weapons components (1-3). Because of it
s unique properties and the range of important applications, beryllium has
already been extensively investigated. Strain rate sensitivity, work harden
ing, temperature-dependent viscosity, anisotropic fracture, grain size effe
cts and oxide content are a few physical and chemical factors that have bee
n measured and collated to create a database allowing prediction of its con
stitutive properties (4-8). Finite element codes have been used to simulate
stress during crack propagation in metals that may be applied to beryllium
(9). However, successful utilization of beryllium depends on an accurate d
escription of its microstructure as a function of fabrication and forming h
istory. Texture, preferred crystallographic orientation, is an important mi
crostructural parameter that we use in this paper to characterize structure
as a function of manufacturing process for three archived beryllium struct
ural grades.
Los Alamos National Laboratory (LANL) maintains a stock of various vintages
of structural (nuclear grade) beryllium which has been made by a variety o
f fabrication processes (3). Texture in beryllium has been observed qualita
tively in previous studies, however it has never been investigated systemat
ically or quantitatively (10,8). In this study we determine quantitatively
the texture as a function of processing history in specimens cut from three
vacuum hot pressed (VHP) block beryllium grades S200-D, -E, and P31664 whi
ch have been used in various components over the years.
Hot pressing of metal powders has been known to produce preferential alignm
ent of crystals during formation (11). Moreover, it has been shown that the
standard production method of beryllium powder creates anisomorphic grain
shape and preferred alignment of crystals (3). The vintages in this study w
ere hot-pressed from processed beryllium powder, and therefore texture was
anticipated.
Texture is directly linked to anisotropic physical properties of (12). For
predicting material anisotropic fracture behavior and flow in beryllium, a
knowledge of texture is critical. It has long been recognized that single c
rystals of beryllium exhibit highly anisotropic behavior (for a through rev
iew see (13)). The deformation of beryllium at ambient temperature occurs b
y motion of dislocations with burgers vectors of (1 1 (2) over bar 0), the
direction of closest atom packing. Such dislocations can move on the (0001)
plane, which is the closest packed plane. They can also move on (10 (1) ov
er bar 0) prism planes, often at much higher resolved shear stress. The ope
ration of (1 1 (2) over bar 0) (10 (1) over bar 0), temperatures. Character
izing beryllium texture quantitatively performance prediction of components
made from it. temperature. of one or the ether systems, (1 1 (2) over bar
0) (0001) or 1 will depend on which system is most favorably oriented to th
e direction of applied stress (14). The brittleness of polycrystalline bery
llium results from two circumstances. First, the number of independent slip
systems is not sufficient to satisfy the Von Mises requirement of 5 indepe
ndent slip systems in order re, maintain grain-to-grain compatibility. Coin
cidentally, at ambient temperature there are no mobile dislocations with a
c-axis component. Secondly, cleavage fracture is I 1 also common in berylli
um because the stress for cleavage on bbasal (0001) planes is quite low at
ambient temperatures. Characterizing beryllium texture quantitatively is th
us crucial fur mechanical analysis and
Processing of vacuum cast beryllium into powder has been historically carri
ed out by Braun-type attrition methods when a machined beryllium swarf is g
round between two opposed beryllium disks to a powder that is then mechanic
ally sieved inside a vacuum. Particles less than 44 micron diameter are the
n used for consolidation. This method was used for both S200-D and -E vinta
ges. This method produces flattened powder particles because basal cleavage
is favored. In the 1970's the method for processing of vacuum cast berylli
um into powder was changed in order to increase the mechanical isotropy of
the material (by producing more isomorphic grains, thus decreasing the diff
erence between longitudinal and transverse properties). New methods such as
impact grinding and ball milling were introduced to beryllium powder proce
ssing. During impact grinding a beryllium swarf is Do-ground, usually by pi
n milling, and pre-ground particles are accelerated through a gas stream, i
mpacting on a beryllium target. Particles less than 44 microns in diameter
are collected by a cyclone separator for consolidation. While impact grindi
ng and Braun-type attrition produced similar grain-size beryllium powders,
they resulted in very different grain morphologies. The latter method produ
ced flat pancake-like grains and the former produced round grains (3). The
three vintages in this study were all vacuum hot pressed (VHP).
In this procedure beryllium powder is compacted under uniaxial pressure at
high In this paper we present a quantitative texture analysis of 14 specime
ns cut from either S200-D -E or P31664 vintage billets from the LANL archiv
e. The billets were sectioned for time-of-night (TOF) neutron diffraction m
easurements to allow comparison of microstructural differences between vint
ages. Neutron diffraction is ideal for investigating structural propel ties
in beryllium because the neutron absorption of beryllium is negligible and
bulk (2 cm(3)) specimens can therefore be investigated. Moreover, the poly
chromatic TOF radiation in this study provides significant statistical adva
ntages for texture measurements compared to the traditional method of monoc
hromatic x-ray diffraction. Even order harmonic coefficients are extracted
from a combination of 50 - 60 TOF neutron diffraction spectra containing a
total of 40,000-60,000 data points via a Rietveld refinement method (15). S
elected pole figures are subsequently calculated from these harmonic coeffi
cients.